Enhancing Motion Perception in Vehicle Simulators Through a Heuristic-Based Classical Washout Algorithm
针对运动平台无法准确传递关键加速度信号的问题，提出一种启发式增强的经典洗出算法，优先保留关键信号并保持系统稳定。40名参与者实验表明，该算法显著提升了用户对丢失信号的感知能力。
Motion platforms are integral to enhancing user immersion in vehicle simulators by reproducing vehicle accelerations through virtual reality. A key challenge in this domain is ensuring that users perceive critical motion cues accurately. Due to the physical limitations of motion platforms, Motion Cueing algorithms (MCA) often fail to transmit specific acceleration signals that are important for the purpose of the simulator (e.g., training), leading to a loss in motion fidelity. This gap, widely acknowledged but insufficiently addressed in prior research, directly impacts the user’s perception of realism. To address this issue, we propose a heuristic-based enhancement to the classical washout algorithm (CWA) that prioritizes the retention of these critical signals while maintaining system stability. To evaluate the effectiveness of this approach, an experimental study was conducted with 40 participants who tested the system with and without the proposed heuristics. Participants provided real-time feedback and completed post-test questionnaires. The results indicate that the heuristic-enhanced CWA significantly improves users’ ability to perceive signals that were previously lost, thus bridging the identified research gap and advancing the state of motion simulation.